Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Computed Tomography

Computed Tomography

Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...

Electron Microscope Tomography and Single-particle Reconstruction

Electron Microscope Tomography and Single-particle Reconstruction

Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
Electron Tomography
Electron tomography can be performed either in TEM or STEM (scanning transmission...

Imaging Studies III: Computed Tomography

Imaging Studies III: Computed Tomography

DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Near-infrared-terahertz hyper-Raman spectroscopy of an excited silicon surface.

The Journal of chemical physics·2024

Same author

Terahertz time-domain spectro-imaging and hyperspectral imagery to investigate a historical Longwy glazed ceramic.

Scientific reports·2024

Same author

Accessible and reliable neurometric testing in humans using a smartphone platform.

Scientific reports·2023

Same author

Response-guided neoadjuvant sacituzumab govitecan for localized triple-negative breast cancer: results from the NeoSTAR trial.

Annals of oncology : official journal of the European Society for Medical Oncology·2023

Same author

Ultrafast, broadband and tunable terahertz reflector and neutral density filter based on high resistivity silicon.

Optics express·2022

Same author

Mental health improvements after elective spine surgery: a Canadian Spine Outcome Research Network (CSORN) study.

The spine journal : official journal of the North American Spine Society·2021

Search research articles

Related Experiment Video

Updated: Jun 3, 2026

Terahertz Imaging and Characterization Protocol for Freshly Excised Breast Cancer Tumors

Terahertz Imaging and Characterization Protocol for Freshly Excised Breast Cancer Tumors

Published on: April 5, 2020

Investigation on reconstruction methods applied to 3D terahertz computed tomography.

B Recur¹, A Younus, S Salort

¹LOMA, Université de Bordeaux/CNRS, 351 Cours de la Libération, 33405 Talence Cedex, France.

|March 30, 2011

Summary

Three terahertz computed tomography reconstruction methods were compared for imaging large 3D objects. Iterative methods showed potential for enhanced quality in terahertz tomography applications.

More Related Videos

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography

Published on: October 24, 2019

High Resolution 3D Imaging of Ex-Vivo Biological Samples by Micro CT

High Resolution 3D Imaging of Ex-Vivo Biological Samples by Micro CT

Published on: June 21, 2011

Related Experiment Videos

Last Updated: Jun 3, 2026

Terahertz Imaging and Characterization Protocol for Freshly Excised Breast Cancer Tumors

Terahertz Imaging and Characterization Protocol for Freshly Excised Breast Cancer Tumors

Published on: April 5, 2020

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography

Published on: October 24, 2019

High Resolution 3D Imaging of Ex-Vivo Biological Samples by Micro CT

High Resolution 3D Imaging of Ex-Vivo Biological Samples by Micro CT

Published on: June 21, 2011

Area of Science:

Physics
Imaging Science
Engineering

Background:

3D terahertz computed tomography (TCT) is an emerging imaging technique.
Reconstruction algorithms are crucial for image quality in TCT.
Optimizing projection parameters is essential for effective 3D reconstruction.

Purpose of the Study:

To compare the performance of three reconstruction methods for 3D terahertz computed tomography.
To evaluate image quality metrics including intensity, contrast, and geometric preservation.
To demonstrate the applicability of these methods for real-world 3D object imaging.

Main Methods:

Utilized a monochromatic millimeter wave imaging system with an infrared temperature sensor for 3D TCT.
Implemented and compared standard back-projection and two iterative reconstruction algorithms.
Investigated the impact of the number of projections on image reconstruction quality.

Main Results:

Iterative reconstruction methods demonstrated superior performance compared to standard back-projection.
Image quality was assessed based on intensity, contrast, and geometric fidelity.
Optimization of projection count was found to influence the final reconstruction quality.

Conclusions:

Iterative reconstruction algorithms offer significant advantages for 3D terahertz computed tomography.
The findings highlight the potential of optimized TCT methods for practical applications.
Further research can focus on refining these algorithms for enhanced 3D imaging.